Graduate Certificate of Data Science
Blended learning – on-campus and digital learning
The Graduate Certificate of Data Science is designed to prepare students to work in a variety of roles in data-driven decision-making.
Build on your existing undergraduate qualification and/or industry experience as you develop skills related to managing, interpreting, visualising and deriving knowledge from small to medium-sized data sets.
In this course, you’ll expand your knowledge of computer science, data analytics and visualisation, and gain an understanding of the challenges of the data management lifecycle. You’ll also complete a project-based learning unit designed to introduce industry-relevant tools and techniques.
Every international student application is considered for a scholarship
Whether you’re living in Australia or overseas, you’re automatically considered for a scholarship of up to 20% off your course fees. Please check our updated entry requirements.
Duration
1 Year/s
Intakes
Hawthorn (Semester 1, Semester 2) - View application and start dates
CRICOS code
099118A
Fees
A$41240 (annual for 2024)*
The indicative course fees shown in Course Search apply to international students for the relevant year only. They are based on a standard study load per year. However, please note that fees are assessed according to a student's study load in each semester, and variation to study load will result in an adjustment to tuition fees. All fees are subject to annual review and may be adjusted.
Course information in detail
- Course detail, course structure and units of study.
Course description
International students in Australia who hold student visas are required to study full-time and on campus. Courses that are taught entirely online are only available to international students studying outside Australia or those in Australia who are not on a student visa. Online courses are not available to international students in Australia who hold a student visa.
Course structure
- Eight (8) core units (100 credit points).
The maximum level of credit that can be granted for the Graduate Certificate of Data Science is 50 credit points (normally four units)
Units of study
* Outcome units - matched exemptions are generally not granted for higher education outcome units.
Careers and graduate outcomes
- Career opportunities and course aims and objectives.
Career opportunities
Aims and objectives
| # | Description |
|---|---|
| CLO1 | Demonstrate a coherent understanding of the concepts and practices within the field of Data Science |
| CLO2 | Analyse selected Data Science scenarios, develop a solution, and reflect on the appropriateness of the developed solution |
| CLO3 | Exercise critical thinking and judgment by completing projects with industry relevance |
| CLO4 | Communicate information proficiently to technical and non-technical audiences |
| CLO5 | Take responsibility for their own learning, and manage their own time and processes effectively, both individually and as an effective member of diverse teams |
Pathways and scholarships
- Scholarships.
Course fees and requirements
- Fees, entry requirements and English language requirements.
Course fees
Entry requirements
A prerequisite for many courses, the Pearson Test of English Academic (PTE Academic) can now be done on campus in Hawthorn at Room 132, Building TD. Book now or call +61 3 9214 3584 for more information.
- a completed bachelor degree (or higher award) in any discipline from a recognised higher education institution or equivalent
English language requirements
Satisfactory completion of one of the following:
- IELTS overall band of 6.5 (Academic Module) with no individual band below 6.0
- Swinburne’s English for Academic Purposes (EAP 5 Advanced level) with overall 70%, all skills 65%
- Or equivalent measures available at English language requirements.
How to apply
Find out more
Tel: +61 3 9214 8444 (outside Australia)